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Fant 2218 publikasjoner. Viser side 2 av 222:

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Hendelse Mongstad 15. februar 2024. Vurdering av utslipp til luft i forbindelse med fakling

Berglen, Tore Flatlandsmo; Markelj, Miha; Stebel, Kerstin; Yttri, Karl Espen; Hak, Claudia

NILU

2024

Glasopor Fredrikstad. Kartlegging av støvutslipp og effekter på ytre miljø. Vurdering av utslipp til luft i forbindelse med utslippssøknad.

Berglen, Tore Flatlandsmo; Weydahl, Torleif; Mortensen, Tore; Andresen, Erik; Grythe, Henrik

NILU har, på oppdrag fra Glasopor AS ved Onsøy i Fredrikstad, kartlagt utslipp av støv fra anlegget og effekter på ytre miljø. Bedriften ønsker å oppgradere anlegget og øke produksjonen og har søkt om ny utslippstillatelse. I den forbindelse har Statsforvalteren oppfølgende spørsmål med krav om dokumentasjon knyttet til utslipp av støv og påvirkning på ytre miljø. For å svare på disse spørsmålene har NILU gjennomført målinger, beregning av utslipp og spredningsberegninger. Rapporten skal inngå i dokumentasjonen som oversendes norske myndigheter.

NILU

2024

Integrating Low-cost Sensor Systems and Networks to Enhance Air Quality Applications

Amegah, Kofi; Basart, Sara; Diez, Sebastiàn; Rosales, Colleen Marciel F.; Zimmerman, Naomi; Archer, Jan-Michael; Barreto, África; Bi, Jianzhao; Biggs, Russ; Castell, Nuria; deSouza, Priyanka; Dye, Tim; Fujita, Ryo; Giordano, Michael R.; Gonzalez, Marisa E.; Hasenkopf, Christa; Hassani, Amirhossein; Hodoli, Collins Gameli; Hofman, Jelle; Huneeus, Nicolás Jorge; Jayaratne, Rohan; Kroll, Jesse H.; Labrador, Lorenzo; Legri, Radouane; Levy, Robert C.; Marques, Tomas; Martins, Leila Droprinchinski; McMahon, Ethan; Mead, Mohammed Iqbal; Molina, Luisa T.; Montgomery, Anastasia; Morawska, Lidia; Ning, Zhi; Peltier, Richard; Popoola, Olalekan; Rojas, Néstor; Retama, Armando; Schneider, Philipp; Shairsing, Kerolyn; Strużewska, Joanna; Tang, Beiming; Van Poppel, Martine; Westervelt, Daniel M.; Zhang, Yang; Zheng, Mei

Low-cost air quality sensor systems (LCS) are emerging technologies for policy-relevant air quality analysis, including pollution levels, source identification, and forecasting. This report discusses LCS use in networks and alongside other data sources for comprehensive air quality applications, complementing other WMO publications on LCS operating principles, calibration, performance assessment, and data communication.

The LCS’s utility lies in their ability to provide new insights into air quality that existing data sources may not offer. While LCS data must be verified, their integration with other data sources can enhance understanding and management of air quality. In areas without reference-grade monitors, LCS can identify factors affecting local air quality and guide future monitoring efforts. Combining LCS data with satellite and other air quality systems can improve data reliability and establish corroborating evidence for observed trends. LCS can extend the spatial coverage of existing monitoring networks, offering localized insights and supporting effective air quality management policies. Co-locating LCS with reference-grade monitors helps quantify measurement uncertainties and apply LCS data appropriately for forecasting, source impact analysis, and community engagement.

World Meteorological Organization

2024

Atmospheric Supply of Nitrogen, Cadmium, Mercury and B(a)P to the Baltic Sea in 2022

Gauss, Michael; Travnikov, Oleg; Gačnik, Jan; Aas, Wenche; Klein, Heiko; Nyiri, Agnes

Norwegian Meteorological Institute

2024

Screening of compounds in tire wear road run off

Hanssen, Linda; Schmidt, Natascha; Nikiforov, Vladimir

Tire related additive chemicals can leach out and enter the environment. Road run-off and recipient waters are particularly prone to contamination by these chemicals, though data from large screening studies is lacking. Here, we present data from water (road run-off & recipients, atmospheric deposition (rain), snow), sediment (marine, snow dumping sites) and biota (blue mussels) samples collected in the Nordic countries. The aim of this study was to provide a first assessment of the presence of tire related chemicals in road run-off and associated samples in the Nordic countries. Tire related additive chemicals were detected in 85 out of 87 samples, with varying concentrations depending on the sample type and location.

Nordic Council of Ministers

2024

Investigating snow deposition of cyclic siloxanes in an Arctic environment

Nipen, Maja; Hartz, William Frederik; Bäcklund, Are; Schulze, Dorothea; Christensen, Guttorm; Løge, Oda Siebke; Nikiforov, Vladimir; Bohlin-Nizzetto, Pernilla

cVMS are high production volume chemicals that are used for a wide range of industrial and domestic applications. Given the high volatility of cVMS, emissions occur mainly to the atmosphere, and cVMS are present in the Arctic atmosphere, e.g. at the Zeppelin Observatory near Ny Ålesund, Svalbard, suggesting potential for long-range atmospheric transport. A study to investigate whether cVMS have the potential to deposit to surface media, and thereby represent a potential risk to the terrestrial or marine environment in polar and Arctic regions was carried out. Overall, cVMS levels in samples of vegetation, soil, sediment and marine biota were low. D4 was detected in most samples at concentrations above LOD, but below LOQ, while D5 and D6 were generally not detected. The low cVMS concentrations in soil, vegetation, sediments, and fish are in line with most current research on cVMS in remote regions, which together suggest that input of cVMS from atmospheric deposition and snow melt is likely not a major contributing source.

NILU

2024

NERVE – en utslippsmodell for veitrafikk. Dokumentasjon av revidert beregningsmodell for utslipp fra veitrafikk i norske kommuner

Weydahl, Torleif; Grythe, Henrik; Steinsland, Christian; Madslien, Anne

NILU og Transportøkonomisk institutt (TØI) har på oppdrag fra Miljødirektoratet videreutviklet modellen NERVE («Norwegian Emissions from Road Vehicle Exhaust») for beregning av klimagassutslipp fra veitrafikken i norske kommuner. NERVE-modellen anvender de mest detaljerte datasettene for bilpark, utslippsfaktorer, trafikk og veier for spesifikke lokale forhold. Datasettene er kombinert i en datastruktur som gjør at resultat kan aggregeres på et lite eller et stort geografisk område. NERVE kan således betegnes som en «bottom-up»-utslippsmodell, fordi den er bygget opp «nedenfra» fra detaljerte datakilder. Denne rapporten presenterer metodikken og antagelsene bak beregningene med NERVE, og sammenligner resultat aggregert på nasjonalt nivå med annen tilgjengelig nasjonal statistikk.

NILU

2024

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